Instructions to use AdamOswald1/Ultima-Waifu-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AdamOswald1/Ultima-Waifu-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AdamOswald1/Ultima-Waifu-Diffusion", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e0be1075ca38afa4db3a94818342e315b3a9119a469e5d3529b88a7676f94353
- Size of remote file:
- 99 MB
- SHA256:
- 09f5678e615988ce35d01ce9980a546568e27ec52065d2578c265275b070ea27
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